Assessment of the Influence of Binhai Lng Project on Regional Economic Development in Jiangsu Province

2013 ◽  
Vol 734-737 ◽  
pp. 3275-3279
Author(s):  
Luo Cheng Zhang ◽  
Ttian Ming Zhu

Jiangsu is a province with scarce energy resources, Binhai LNG project will guarantee the supply of clear energy and ease the shortage situation in the middle and north Jiangsu province. The project can greatly increase the GDP and prompt the development of Binhai county, it can also improve the local revenue and motivate the development of relative industries. With the entry of LNG project, peoples behaviour on energy consumption will change significantly. It will be helpful to increase the income of local people and provide more job opportunities.

2017 ◽  
Vol 12 (1) ◽  
pp. 96-118 ◽  
Author(s):  
Bao-jun Tang ◽  
Pi-qin Gong ◽  
Yu-chong Xiao ◽  
Huai-yu Wang

Purpose This paper aims to figure out the relationship between energy consumption flow from a new perspective of embodied energy inventory index (EEII) and regional economic growth. Design/methodology/approach The input-output approach has been applied to calculate embodied energy inventory (EEI) and EEII using the data of 25 economies. Meanwhile, cluster analysis and panel data modeling were applied to carry out detailed research. Findings The results of cluster analysis show that there is a roughly negative relationship between EEII and gross domestic product (GDP) per capita, although there are some exceptions, such as Russia and Taiwan (Province of China). Panel data model results provide further evidence that there is a negative relationship between EEII and GDP per capita. Population is an important productive factor in the regional economic development. The study showed a positive relationship between EEII and population. Therefore, energy consumption flow is closely related to regional economic development. Originality/value The value of this paper is to use EEI and EEII to comprehensively clarify the energy consumption flow. The advantage of EEII is that it can reflect the energy embodied in fixed assets and infrastructure.


2014 ◽  
Vol 962-965 ◽  
pp. 1332-1337
Author(s):  
Ya Wei Qi

This paper calculates the carbon emissions from energy consumption of 30 provinces in China through 2000-2010, and research correlation of factors such as regional economic gap and regional characteristics of carbon emissions in the process of regional economic coordinated development. The LMDI decomposition model is used to decompose the growth rate of China’s carbon emissions into 4 types of driving factors, i.e. GDP, industrial pollutants emission intensity, industrial structure and imbalance of regional economic development, to analyze influence of scale effect, technical effect, industrial structure effect and regional spatial structure effect on carbon emissions in the process of China's regional economic development. The results show that: The scale effect is determinants of carbon emissions increasing. The technical effect is the most important force to inhibit the increment of carbon emissions. Industrial structure effect and regional spatial structure effect on carbon emissions are not yet stable, but have a certain pull impact on increasing carbon emissions.


2018 ◽  
Vol 6 (2) ◽  
pp. 121-137
Author(s):  
Sean M. McDonald ◽  
Remi C. Claire ◽  
Alastair H. McPherson

The impact and effectiveness of policies to support collaboration for Research & Development (R&D) and Innovation is critical to determining the success of regional economic development. (O’Kane, 2008) The purpose of this paper is to evaluate the level of success of the Innovation Vouchers Program operated by Invest Northern Ireland (Invest NI) from 2009 to 2013 and address if attitudinal views towards innovation development should play in a role in future policy design in peripheral EU regions. 


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